Correction of respiratory artifacts in MRI head motion estimates

Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, head motion estimates may be corrupted by artifacts due to magnetic main fie...

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Vydané v:NeuroImage (Orlando, Fla.) Ročník 208; s. 116400
Hlavní autori: Fair, Damien A., Miranda-Dominguez, Oscar, Snyder, Abraham Z., Perrone, Anders, Earl, Eric A., Van, Andrew N., Koller, Jonathan M., Feczko, Eric, Tisdall, M. Dylan, van der Kouwe, Andre, Klein, Rachel L., Mirro, Amy E., Hampton, Jacqueline M., Adeyemo, Babatunde, Laumann, Timothy O., Gratton, Caterina, Greene, Deanna J., Schlaggar, Bradley L., Hagler, Donald J., Watts, Richard, Garavan, Hugh, Barch, Deanna M., Nigg, Joel T., Petersen, Steven E., Dale, Anders M., Feldstein-Ewing, Sarah W., Nagel, Bonnie J., Dosenbach, Nico U.F.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Elsevier Inc 01.03.2020
Elsevier Limited
Elsevier
Predmet:
Adolescent
Brain mapping
Brain research
Child
Cognitive ability
Cognitive development
Female
Functional magnetic resonance imaging
Functional Neuroimaging - standards
Head
Head Movements
Humans
Magnetic fields
Magnetic resonance imaging
Magnetic Resonance Imaging - standards
Male
Neural networks
Neuroimaging
Respiration
Scanners
United States > US
ISSN:1053-8119, 1095-9572, 1095-9572
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Shrnutí:Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, head motion estimates may be corrupted by artifacts due to magnetic main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and comparison ‘single-shot’ datasets. We show that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with functional MRI quality reductions. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects from motion estimates. Subsequently, we demonstrate that utilizing a band-stop filter improves post-processing fMRI data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package. •Respiratory perturbations of the main field inflate fMRI head motion estimates.•Breathing-related head motion artifacts compromise functional connectivity quality.•Notch filtering motion estimates (respiratory frequency band) improves data quality.•Motion estimate filtering can be achieved in real-time with FIRMM software.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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These authors contributed equally to this work.
ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2019.116400